Sammenlign metoder

	Flotationskinetik	Rosin-Rammler-fordelingen	Tromp Kurve
Fagområde	Minedrift	Minedrift	Minedrift
Familie	Process / pipeline	Process / pipeline	Process / pipeline
Oprindelsesår	1935	1933	1937
Ophavsperson	Garcia-Zuniga	Paul Rosin and Erich Rammler	K. Tromp
Type	First-order kinetic model for flotation recovery	Empirical probability distribution for crushed material fineness	Empirical model for size classifier performance
Oprindelig kilde	Garcia-Zuniga, H. (1935). Uber eine neue Methode, zur Berechnung der Flotationsausbeute. Zeitschrift fur Praktische Geologie, 43(2), 12-19.	Rosin, P., & Rammler, E. (1933). The laws governing the fineness of powdered coal. Journal of the Institute of Fuel, 7, 29-36.	Tromp, K. (1937). Separation of fine particles from slurries by hydrocyclone. Colliery Guardian, 155(4), 251-256.
Aliasser	Batch Flotation Model, Flotation Rate Constants, Kinetic Flotation Analysis	Rosin-Rammler Model, RRS Distribution, Weibull Distribution (particle size)	Partition Curve, Classification Efficiency Curve, Grade Recovery Curve
Relaterede	3	3	3
Resumé	Flotation kinetics is the study of how recovery of minerals from ore changes over time during flotation. The Garcia-Zuniga model, introduced in 1935, describes recovery as a first-order kinetic process with rate constant k and maximum recoverable fraction R∞. This simple model underpins flotation cell design and process optimization, enabling engineers to predict flotation performance from batch tests and scale results to industrial circuits.	The Rosin-Rammler Distribution, introduced by Paul Rosin and Erich Rammler in 1933, is an empirical probability distribution that describes the particle size distribution of ground or crushed materials. It characterizes fineness by two parameters: the characteristic size (d-prime) and the uniformity index (n). This distribution is remarkably accurate for mineral processing streams and is ubiquitous in comminution engineering.	The Tromp Curve, introduced by K. Tromp in 1937, is an empirical model that quantifies the performance of size classifiers (cyclones, screens, jigs) by showing the fraction of particles at each size that report to the target stream (overflow or underflow). It is universally used in mineral processing to evaluate classifier performance, design circuits, and diagnose operational problems.